diff --git a/autogpt/agent.py b/autogpt/agent.py
index 99c001df..2b5a1424 100644
--- a/autogpt/agent.py
+++ b/autogpt/agent.py
@@ -88,4 +88,19 @@ class AutoGPTAgent(Agent):
         multiple steps. Returning a request to continue in the step output, the user can then decide
         if they want the agent to continue or not.
         """
-        raise NotImplementedError
+
+        # An example that
+        self.workspace.write(task_id=task_id, path="output.txt", data=b"Washington D.C")
+        step = await self.db.create_step(
+            task_id=task_id, input=step_request, is_last=True
+        )
+        artifact = await self.db.create_artifact(
+            task_id=task_id,
+            step_id=step.step_id,
+            file_name="output.txt",
+            relative_path="",
+            agent_created=True,
+        )
+        step.output = "Washington D.C"
+
+        return step
diff --git a/autogpt/sdk/agent.py b/autogpt/sdk/agent.py
index b2c66e5f..2ca3378b 100644
--- a/autogpt/sdk/agent.py
+++ b/autogpt/sdk/agent.py
@@ -2,7 +2,7 @@ import asyncio
 import os
 from uuid import uuid4
 
-from fastapi import APIRouter, FastAPI, Response, UploadFile
+from fastapi import APIRouter, FastAPI, UploadFile
 from fastapi.responses import FileResponse
 from hypercorn.asyncio import serve
 from hypercorn.config import Config
@@ -116,10 +116,8 @@ class Agent:
             artifacts, pagination = await self.db.list_artifacts(
                 task_id, page, pageSize
             )
-            response = TaskArtifactsListResponse(
-                artifacts=artifacts, pagination=pagination
-            )
-            return Response(content=response.json(), media_type="application/json")
+            return TaskArtifactsListResponse(artifacts=artifacts, pagination=pagination)
+
         except Exception as e:
             raise
 
diff --git a/autogpt/sdk/db.py b/autogpt/sdk/db.py
index eec35002..bf5eeb05 100644
--- a/autogpt/sdk/db.py
+++ b/autogpt/sdk/db.py
@@ -218,7 +218,11 @@ class AgentDB:
             with self.Session() as session:
                 if (
                     existing_artifact := session.query(ArtifactModel)
-                    .filter_by(relative_path=relative_path)
+                    .filter_by(
+                        task_id=task_id,
+                        file_name=file_name,
+                        relative_path=relative_path,
+                    )
                     .first()
                 ):
                     session.close()
diff --git a/autogpt/sdk/routes/agent_protocol.py b/autogpt/sdk/routes/agent_protocol.py
index 153239b5..ced59908 100644
--- a/autogpt/sdk/routes/agent_protocol.py
+++ b/autogpt/sdk/routes/agent_protocol.py
@@ -324,7 +324,7 @@ async def list_agent_task_steps(
 
 @base_router.post("/agent/tasks/{task_id}/steps", tags=["agent"], response_model=Step)
 async def execute_agent_task_step(
-    request: Request, task_id: str, step: StepRequestBody
+    request: Request, task_id: str, step: Optional[StepRequestBody] = None
 ) -> Step:
     """
     Executes the next step for a specified task based on the current task status and returns the
@@ -367,6 +367,9 @@ async def execute_agent_task_step(
     """
     agent = request["agent"]
     try:
+        # An empty step request represents a yes to continue command
+        if not step:
+            step = StepRequestBody(input="y")
         step = await agent.execute_step(task_id, step)
         return Response(
             content=step.json(),
@@ -479,7 +482,10 @@ async def list_agent_task_artifacts(
     """
     agent = request["agent"]
     try:
-        artifacts = await agent.list_artifacts(task_id, page, page_size)
+        artifacts: TaskArtifactsListResponse = await agent.list_artifacts(
+            task_id, page, page_size
+        )
+        LOG.info(f"Artifacts: {artifacts.json()}")
         return artifacts
     except NotFoundError:
         LOG.exception("Error whilst trying to list artifacts")
@@ -501,7 +507,7 @@ async def list_agent_task_artifacts(
     "/agent/tasks/{task_id}/artifacts", tags=["agent"], response_model=Artifact
 )
 async def upload_agent_task_artifacts(
-    request: Request, task_id: str, file: UploadFile, relative_path: str
+    request: Request, task_id: str, file: UploadFile, relative_path: Optional[str] = ""
 ) -> Artifact:
     """
     This endpoint is used to upload an artifact associated with a specific task. The artifact is provided as a file.